Company Description

Visa is a world leader in payments and technology, with over 310 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Role Summary

We are a dynamic data solutions team dedicated to helping organisations unlock value through advanced analytics, data products, and subscription-based insights. Our team thrives on collaboration, innovation, and delivering measurable impact for clients across diverse industries such as Retail, Media, Government, and Financial Services.

As a Client Solution Lead, you will play a pivotal role in ensuring seamless project delivery, managing subscription services, and driving continuous improvement in an agile environment.

Summary of key Responsibilities

Core Data Science & Engineering Leadership :

· Lead a multi-disciplinary data team, fostering technical excellence and innovation

· Drive the design and delivery of data and AI solutions, ensuring scalability and performance

· Apply strong coding skills in Python, SQL, and Spark to guide solution architecture and troubleshoot complex issues

· Ensure best practices in data engineering, including data pipeline design, optimisation, and governance

· Translate complex data into actionable insights for clients, influencing strategic decisions

· Lead development and deployment of machine learning models, including Large Language Models (LLMs), Generative AI, and Agentic AI solutions.

Delivery Leadership & Governance:

· Lead an agile delivery squad, ensuring consistent delivery standards, optimal resource utilisation, and continuous learning

· Oversee governance processes, including utilisation tracking, quality assurance, and compliance with service-level agreements

· Act as the primary escalation point for technical and delivery issues, ensuring timely resolution and client satisfaction

· Own sprint planning and resource allocation; manage ticket assignment, peer review, and quality gates

· Facilitate core agile ceremonies such as pipeline/resource meetings, sprint planning, and retrospectives

· Developing strategic roadmap for Client Solution and raise profile of the talents in the broader organisation

Subscription Management:

· Manage the full lifecycle of data subscriptions to clients, including pipeline intake, SLA adherence, QA/QC processes, and troubleshooting

· Ensure seamless delivery of insights and coordinate with stakeholders to maximise client value from subscriptions.

Stakeholder Engagement & Coordination:

· Serve as the single point of contact for delivery operations, collaborating with onshore and offshore teams to align capacity and timelines

· Partner with business development and practice specialists to ensure smooth handover from pre-sales to delivery

· Maintains up-to-date project documentation and ensures high-quality, accurate deliverables

· Ensures project deliveries are within timelines and budget requirements.

Capability Building & Innovation:

· Champion the development and industrialisation of new capabilities to enhance client solutions and market competitiveness

· Identify training needs and drive technical capability uplift across data engineering, data science, and visualisation.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Professional

· 10+ years of proven experience leading large-scale data projects and managing multi-disciplinary teams.

· Strong program management and governance skills, with a track record of delivering complex projects on time and within scope.

· Excellent communication and stakeholder management skills, with the ability to influence and collaborate across diverse teams.

· Subject matter expert in different areas of analytical methodologies to solve business challenges

· Excellent people leader, experience in managing a data team is preferred

· Excellent communicator, being able to translate data into business insights

· Experienced in managing multiple projects and initiatives

· Superior analytical and problem-solving skills, with demonstrated intellectual and analytical rigor

· Must be team oriented, collaborative, diplomatic, and flexible, with excellent presentation skills, including strong oral and writing capabilities

· Experienced in working across a matrixed organization.

 

Technical

· Advanced proficiency in Python, SQL, and Spark for data processing and analytics.

· Hands-on experience with machine learning models, LLMs, Generative AI, and Agentic AI applications.

· Familiarity with agile tools and workflows (e.g., JIRA) and quality assurance frameworks.

· Understanding of data transfer protocols (e.g., SFTP, S3) and operational data pipelines.

· Proficiency in using data visualisation tools (such as Tableau).

 

Business

· Excellent relationship and stakeholder management skills

· Expert in presenting ideas and analysis to stakeholders and at leadership level

· Very detailed oriented, is expected to ensure the highest level of quality/rigor in reports & data analysis

· Global mindset, desire and demonstrated ability to work cross-culturally and in a matrixed organization

· Ability to execute and solve problems independently

· Proven skills in translating analytics output to actionable recommendations, and delivery

· Multi-disciplinary thinking skills: creative, analytic, strategic.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.